Supplier
Astrup Drug INC
Astrup Drug INC was paid $38K by Medicaid between May 2021 and Nov 2024, across 3 billing codes. Its largest line is 99607, — 53% of everything it billed.
33Billing provider infoASTRUP DRUG INC
LE SUEUR, MN 56058
LE SUEUR, MN 56058
33aNPI1932716339assigned 09/29/2020
33bProvider typeLong Term Care Pharmacy
28Total paid$38K
24GClaims718
24DCodes billed3
24AFirst – last monthMay 2021 – Nov 2024
Compared with peers
Next to other Long Term Care Pharmacy providers in Minnesota
Rank by total paid#2 of 28
Median peer was paid$3K
This provider vs. median14×
Peers share this provider's primary NPPES type and state. Size alone says nothing about billing quality: a big agency or a hospital system is expected to sit far above the median.
Box 24A · Dates of service
Paid by month
Paid that monthNov–Dec 2024: claims still arriving when the file was cut, so these months run low for every provider
By year, as a table
| Year | Claims | Paid | |
|---|---|---|---|
| 2021 | 70 | $3K | |
| 2022 | 147 | $6K | |
| 2023 | 149 | $10K | |
| 2024incomplete | 352 | $18K |
Box 24 · Service lines
What it billed for
| Code | Service | Share | Claims | Bene. records | Paid |
|---|---|---|---|---|---|
| 99607 | 53% | 260 | 256 | $20K | |
| 99606 | 27% | 317 | 298 | $10K | |
| 99605 | 20% | 141 | 140 | $8K |
Claims and beneficiary counts add up across code × month rows, so one patient seen every month counts many times. Rows with fewer than 12 claims are suppressed by HHS, so small lines can be missing.
From NPPES
Who's on the registration
Authorized officialMILLER, TINA (EXECUTIVE ASSISTANT)
| Provider | Location | Paid |
|---|---|---|
| Astrup Drug INC | Lake City, MN | $57K |
| Astrup Drug INC | Caledonia, MN | $53K |
| Astrup Drug, INC. | Le Sueur, MN | $45K |
| James S Choe MD PLLC | Del City, OK | $4K |
| Astrup Drug INC | Owatonna, MN | $2K |
| Astrup Drug, INC. | Rushford, MN | $110.28 |
| Astrup Drug, INC | Austin, MN | $74.59 |
Matched on the authorized-official name exactly as entered in NPPES. A common name can match unrelated people.